Today's market activity in the Fantasy Premier League has seen a few players decrease in value. Let's take a closer look at those who have fallen in price.
Darwin's price has dropped by £0.1m this gameweek. Despite being fit and available, the Liverpool forward has seen a decrease in ownership, leading to a price fall. Looking ahead, Darwin faces Aston Villa (A) in GW37 and Wolves (H) in GW38, with fixture difficulties of 4 and 2 respectively. Over his last three fixtures, Darwin has accumulated just 3 points, with no goals or assists and a single yellow card. His expected goals (xG) and expected assists (xA) suggest a lack of attacking returns, and with limited minutes in GW35 and GW36, fantasy managers have been moving him out of their squads.
Ward-Prowse's value has also decreased by £0.1m. The West Ham midfielder remains a key player for his team but has not been able to prevent a price drop. He has a mixed bag of fixtures coming up with Luton (H) in GW37, which is a relatively easy fixture with a difficulty rating of 2, followed by a challenging match against Man City (A) in GW38, rated at 5. His recent performances have seen him score only 4 points across three games, with no goals or assists and a low expected goals and assists tally.
Muniz has seen his price fall by £0.1m. The Fulham striker has a tough upcoming fixture against Man City (H) in GW37, rated at 5 for difficulty, but then faces a more favorable match against Luton (A) in GW38, with a difficulty of 2. Muniz has scored 13 points in his last three appearances, including a goal and a clean sheet for a forward, which is notable. However, his expected goals suggest that he might not sustain this scoring form, and with reduced minutes in GW36, fantasy managers have been prompted to sell.
For detailed statistics and to keep an eye on potential price changes, make sure to check the latest price predictions at Fantasy Football Fix.
This is an autogenerated article using Fantasy Football Fix artificial intelligence. If you notice an error, please let us know so we can improve the machine learning process. Email: tom@fantasyfootballfix.com
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